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The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

Crossref DOI link: https://doi.org/10.1007/s11263-020-01400-4

Published Online: 2021-01-06

Published Print: 2021-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bergmann, Paul http://orcid.org/0000-0002-4458-3573
Batzner, Kilian http://orcid.org/0000-0002-7312-7673
Fauser, Michael http://orcid.org/0000-0003-0162-3392
Sattlegger, David http://orcid.org/0000-0002-8336-4672
Steger, Carsten http://orcid.org/0000-0003-3426-1703
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Text and Data Mining valid from 2021-01-06

Version of Record valid from 2021-01-06
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Article History

Received: 15 April 2020

Accepted: 2 November 2020

First Online: 6 January 2021